Annalisa Antonini

1.7k total citations
19 papers, 1.2k citations indexed

About

Annalisa Antonini is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Annalisa Antonini has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Annalisa Antonini's work include MicroRNA in disease regulation (5 papers), Pluripotent Stem Cells Research (2 papers) and Mesenchymal stem cell research (2 papers). Annalisa Antonini is often cited by papers focused on MicroRNA in disease regulation (5 papers), Pluripotent Stem Cells Research (2 papers) and Mesenchymal stem cell research (2 papers). Annalisa Antonini collaborates with scholars based in Italy, United States and Germany. Annalisa Antonini's co-authors include Fabio Martelli, Alessandra Magenta, Pasquale Fasanaro, Germana Zaccagnini, Maurizio C. Capogrossi, Chiara Cencioni, M. C. Capogrossi, Simona Greco, Ada Sacchi and Rita Falcioni and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Annalisa Antonini

18 papers receiving 1.1k citations

Peers

Annalisa Antonini
Adam J. Belanger United States
Ariane Galaup France
June-No So South Korea
Jasmine G. Waters United Kingdom
Suya Yang United States
Kunio Yasunaga Japan
Irene Krukovets United States
Erik R. Sampson United States
Krystyna Teichert-Kuliszewska Canada
Beatriz Velasco Spain
Adam J. Belanger United States
Annalisa Antonini
Citations per year, relative to Annalisa Antonini Annalisa Antonini (= 1×) peers Adam J. Belanger

Countries citing papers authored by Annalisa Antonini

Since Specialization
Citations

This map shows the geographic impact of Annalisa Antonini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Annalisa Antonini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annalisa Antonini more than expected).

Fields of papers citing papers by Annalisa Antonini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annalisa Antonini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Annalisa Antonini. The network helps show where Annalisa Antonini may publish in the future.

Co-authorship network of co-authors of Annalisa Antonini

This figure shows the co-authorship network connecting the top 25 collaborators of Annalisa Antonini. A scholar is included among the top collaborators of Annalisa Antonini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annalisa Antonini. Annalisa Antonini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Nardo, Maddalena Di, Simonetta Astigiano, Silvia Baldari, et al.. (2024). The synergism of SMC1A cohesin gene silencing and bevacizumab against colorectal cancer. Journal of Experimental & Clinical Cancer Research. 43(1). 49–49. 4 indexed citations
2.
Baldari, Silvia, Annalisa Antonini, Giuliana Di Rocco, & Gabriele Toietta. (2024). Expression Pattern and Prognostic Significance of Aldehyde Dehydrogenase 2 in Lung Adenocarcinoma as a Potential Predictor of Immunotherapy Efficacy. SHILAP Revista de lepidopterología. 4(1). e149–e149.
3.
Puccio, Luigi, et al.. (2021). Focus on Diabetic Retinopathy (DR) and MicroRNA “What Association”. Zenodo (CERN European Organization for Nuclear Research). 2(4). 1 indexed citations
4.
D'agostino, M, Sara Beji, Alessio Torcinaro, et al.. (2016). Oxidative Stress-Induced miR-200c Disrupts the Regulatory Loop Among SIRT1, FOXO1, and eNOS. Antioxidants and Redox Signaling. 27(6). 328–344. 120 indexed citations
5.
D’Arcangelo, Daniela, Francesco Facchiano, Giovanni Nassa, et al.. (2016). PDGFR-alpha inhibits melanoma growth via CXCL10/IP-10: a multi-omicsapproach. Oncotarget. 7(47). 77257–77275. 25 indexed citations
6.
D'agostino, M, Sara Beji, Germana Zaccagnini, et al.. (2016). Abstract 18577: Oxidative Stress-Induced Mir-200c Disrupts Sirt1, Foxo1 and Enos Regulatory Loop, Causing Endothelial Dysfunction and Oxidative Stress Increase. 134. 1 indexed citations
7.
Cicchillitti, Lucia, Valeria Di Stefano, Eleonora Isaia, et al.. (2012). Hypoxia-inducible Factor 1-α Induces miR-210 in Normoxic Differentiating Myoblasts. Journal of Biological Chemistry. 287(53). 44761–44771. 84 indexed citations
8.
Rocco, Giuliana Di, Antonietta Gentile, Annalisa Antonini, et al.. (2012). Analysis of Biodistribution and Engraftment into the Liver of Genetically Modified Mesenchymal Stromal Cells Derived from Adipose Tissue. Cell Transplantation. 21(9). 1997–2008. 28 indexed citations
9.
Magenta, Alessandra, Chiara Cencioni, Pasquale Fasanaro, et al.. (2011). miR-200c is upregulated by oxidative stress and induces endothelial cell apoptosis and senescence via ZEB1 inhibition. Cell Death and Differentiation. 18(10). 1628–1639. 376 indexed citations
10.
Rosati, Jessica, Francesco Spallotta, Simona Nanni, et al.. (2011). Smad-Interacting Protein-1 and MicroRNA 200 Family Define a Nitric Oxide–Dependent Molecular Circuitry Involved in Embryonic Stem Cell Mesendoderm Differentiation. Arteriosclerosis Thrombosis and Vascular Biology. 31(4). 898–907. 24 indexed citations
11.
Gurtner, Aymone, Paola Fuschi, Fabio Martelli, et al.. (2010). Transcription Factor NF-Y Induces Apoptosis in Cells Expressing Wild-Type p53 through E2F1 Upregulation and p53 Activation. Cancer Research. 70(23). 9711–9720. 34 indexed citations
12.
Panieri, Emiliano, Gabriele Toietta, Valentina Labate, et al.. (2010). Nutrient withdrawal rescues growth factor-deprived cells from mTOR-dependent damage. Aging. 2(8). 487–503. 27 indexed citations
13.
14.
Lazzari, Chiara, Silvia Truffa, Annalisa Antonini, et al.. (2009). Homeodomain Interacting Protein Kinase 2 Activation Compromises Endothelial Cell Response to Laminar Flow: Protective Role of p21waf1,cip1,sdi1. PLoS ONE. 4(8). e6603–e6603. 8 indexed citations
15.
Colussi, Claudia, Aymone Gurtner, Jessica Rosati, et al.. (2009). Nitric oxide deficiency determines global chromatin changes in Duchenne muscular dystrophy. The FASEB Journal. 23(7). 2131–2141. 62 indexed citations
16.
Melchionna, Roberta, Daniele Porcelli, Antonella Mangoni, et al.. (2005). Laminar shear stress inhibits CXCR4 expression on endothelial cells: functional consequences for atherogenesis. The FASEB Journal. 19(6). 1–25. 43 indexed citations
17.
Palumbo, Roberta, Carlo Gaetano, Annalisa Antonini, et al.. (2002). Different Effects of High and Low Shear Stress on Platelet-Derived Growth Factor Isoform Release by Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 22(3). 405–411. 58 indexed citations
18.
Toschi, Elena, et al.. (2000). Wild-Type p53 Gene Transfer Inhibits Invasion and Reduces Matrix Metalloproteinase-2 Levels in p53-Mutated Human Melanoma Cells. Journal of Investigative Dermatology. 114(6). 1188–1194. 36 indexed citations
19.
Falcioni, Rita, Annalisa Antonini, Paola Nisticò, et al.. (1997). α6β4 and α6β1 Integrins Associate with ErbB-2 in Human Carcinoma Cell Lines. Experimental Cell Research. 236(1). 76–85. 175 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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